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Fraud Analytics Jobs in Delaware (NOW HIRING)

M&T Bank

Fraud Detection Analyst (Hybrid)

Millsboro, DE · Hybrid

$20.55 - $34.25/hr

Detects and prevents fraudulent activities by analyzing anomalous activity in near real-time environment in order to minimize Bank fraud losses, mitigate internal intent to defraud the Bank, and ...

Judge Group, Inc.

Data Engineer Junior

Wilmington, DE · On-site

$50 - $60/hr

Collaborate with cross-functional teams to support fraud analysis and generate actionable insights for strategy teams. * Contribute to Databricks migration initiatives and optimize existing workflows.

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Fraud Analytics information

See Delaware salary details

$15

$30

$63

How much do fraud analytics jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for fraud analytics in Delaware is $30.71, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.94 per hour, depending on experience, location, and employer.

How does a Fraud Analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What does a fraud analyst do?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to identify potential scams or security breaches. They use tools like data analysis software and may collaborate with law enforcement or financial institutions to prevent losses and improve fraud detection systems.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How much do fraud analysts earn?

Fraud analysts typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start around $45,000, while experienced analysts with certifications can earn over $90,000. The role often requires skills in data analysis, fraud detection tools, and knowledge of financial regulations.

What are the key skills and qualifications needed to thrive as a Fraud Analytics professional, and why are they important?

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What does a fraud analyst make?

A fraud analyst typically earns a median annual salary ranging from $50,000 to $80,000, depending on experience, location, and industry. They analyze transaction data, use fraud detection tools, and may hold certifications like Certified Fraud Examiner (CFE) to identify and prevent fraudulent activities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The career can be stable and rewarding for those interested in security and data-driven decision making.
What are popular job titles related to Fraud Analytics jobs in Delaware? For Fraud Analytics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Fraud Analytics jobs in Delaware look for? The top searched job categories for Fraud Analytics jobs in Delaware are:
What cities in Delaware are hiring for Fraud Analytics jobs? Cities in Delaware with the most Fraud Analytics job openings:
Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Delaware as of June 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $63,877 per year, or $30.7 per hour.

Senior Associate, Fraud Strategy Analyst

Sallie Mae Bank

Newark, DE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

When you join Sallie Mae, you become a champion for all students.
We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.
We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
What You'll Contribute
As the Fraud Strategy Senior Associate, you will support fraud analytics and strategy initiatives, working closely with fraud, analytics, and cross-functional partners to analyze data, generate insights, and drive data-driven fraud decision-making. This role is responsible for helping design, implement, and continuously optimize fraud strategies to mitigate risk while supporting business objectives.
What You'll Do
  • Support fraud and analytics teams in conducting data analysis, modeling, and reporting to deliver insights and actionable recommendations related to fraud risk and strategy performance.
  • Create, implement, and optimize fraud strategies using data-driven insights, including evaluating effectiveness, monitoring performance, and identifying enhancement opportunities.
  • Gather, clean, and prepare data for analysis, ensuring accuracy and consistency across fraud and analytics use cases.
  • Develop models and forecasts to support fraud risk assessment, strategy tuning, and broader business planning and decision-making.
  • Monitor key fraud metrics and trends to identify emerging risks, strategy gaps, and opportunities for improved detection and prevention.
  • Create presentations summarizing findings and provide clear, well-supported recommendations to leadership to influence fraud and business strategy decisions.
  • Create and maintain data documentation, data dictionaries, fraud strategy documentation, and standard operating procedures as needed.
  • Contribute to the continuous improvement of data quality, data governance, and fraud strategy management processes.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees in this role.
What You Have
Minimum: Indicate minimum education, skills and experience required.
  • Experience with SQL, Python, R, or other programming languages commonly used in analytics and fraud analysis.
  • Strong attention to detail with the ability to deliver high-quality, accurate work in a risk-sensitive environment.
  • Excellent communication skills, with the ability to present complex data and fraud concepts clearly and concisely to stakeholders at all levels of the organization.
  • Strong problem-solving and critical-thinking skills, particularly in evaluating risk tradeoffs and strategy effectiveness.
  • Demonstrated ability to work collaboratively across departments and functions, including fraud, analytics, technology, and business partners.
  • Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience in e-commerce or retail analytics is preferred.

Preferred Qualifications
  • Bachelor's degree in mathematics, statistics, economics, computer science, or a related field.
  • Three (3) years of experience in analytics, fraud strategy, fraud operations, or a related field.

Feeling your best helps you do your best:
Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries
  • Bonus incentives
  • Generous PTO, Floating Holidays and 12 Federal Holidays observed
  • Support for financial-well-being and retirement 401k with employer match
  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
  • Employer paid short-term/long-term disability and basic life insurance
  • Flexible hybrid working arrangements.
  • Paid parental leave and adoption reimbursement programs
  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
  • Tuition Reimbursement and Family Scholarship Programs
  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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